By Milton Pedraza
In luxury, the product may open the door, but the relationship determines whether the customer returns.
Executive summary
For decades, companies built competitive moats around knowledge, information, scale, efficiency, productivity, proprietary content and transactional reach. Those advantages still matter, but they are being commoditized by technology, platforms and artificial intelligence.
What remains scarce, premium and difficult to copy is how people behave and build trusted relationships.
Luxury Institute believes the new moat in business is Relationship Mastery and the behaviors associated with the five pillars that wealthy consumers require to build trusted relationships.
The companies that win will be those whose people consistently demonstrate the human capabilities that remain scarce, premium and difficult to copy: trustworthiness, expertise, kindness, empathy and creativity, along with deliberate and consistent relationship building and effectiveness.
These are not soft skills in the old sense. They are measurable business skills that determine whether customers feel safe, understood, respected, inspired and willing to return.
The 7 New Rules of Competitive Advantage are based on Luxury Institute's empirical research with the wealthiest, most discerning and most demanding customers on the planet.
Luxury customers are a powerful test case because they have choices, high standards and low tolerance for transactional behavior.
This white paper introduces the 7 New Rules, explains why each represents a decisive shift from old sources of advantage to new behavioral capabilities, and shows how companies across categories can build a relationship ecosystem that turns human behavior into measurable business value.
The 7 New Rules
- From answers to trustworthiness
- From knowledge to expertise
- From efficiency to kindness
- From personalization to empathy
- From content to creativity
- From transactions to relationships
- From productivity to effectiveness
Together, these rules define the next era of business competitive advantage.
In a world where machines can replicate many tasks, human behavior becomes the moat.
Old moats are becoming table stakes
The first wave of modern business advantage was built on access: access to knowledge, distribution, technology, capital and customers.
The second wave was built on speed and efficiency: faster processes, more data, better logistics, lower friction and greater scale.
The AI era accelerates both waves and makes them widely available.
The result is not that knowledge, speed, content or productivity disappear. They become the minimum standard.
A company that is slow, uninformed, generic or inefficient will still lose. But a company that is merely fast, informed, personalized and productive will not necessarily win.
Customers will ask a more demanding set of questions: Do I trust you? Do you understand me? Are you competent enough to advise me? Do you care? Can you solve my problem creatively? Will this relationship make my life better and add value?
These questions are especially visible in luxury, but they are not limited to luxury. They apply to healthcare, financial services, hospitality, real estate, technology, legal services, consulting, education and every category where human judgment, emotional value and trust matter.
Why luxury is the best test case
Luxury customers are not simply people with high purchasing power. They are often sophisticated evaluators of experience, service, quality, expertise and emotional nuance. They have choices. They can compare brands globally. They can detect indifference quickly. They expect excellence, and they also expect humanity.
In luxury, the product may open the door, but the relationship determines whether the customer returns.
A beautiful product can be copied. A seamless transaction can be matched. A personalized recommendation can be automated. A trusted relationship with an expert, kind, empathetic, creative professional is the differentiator.
This is why the 7 New Rules have implications far beyond luxury.
The most demanding customers show all businesses, in all categories, where the future is going. What is exceptional today in luxury often becomes expected tomorrow in every category.
Relationship ecosystem
The relationship ecosystem is the integrated system through which organizations create relationship value. It includes customers, employees, leaders, culture, standards, training, measurement, coaching, technology and daily behaviors. It is not a department or a slogan. It is the operating system for human value.
In the relationship ecosystem, technology is not the enemy of humanity.
Technology should reduce drudgery, increase insight and free people to deliver higher-order human value.
The risk is not AI itself. The risk is using AI to automate interactions while failing to elevate the behaviors that create trust, loyalty, referrals, resilience and lifetime value.
Rule 1: From answers to trustworthiness
AI can generate answers instantly. Search engines can produce options. Digital platforms can recommend next steps. But answers without trust can increase confusion, anxiety and skepticism.
Trustworthiness is the behavioral ability to prove, repeatedly, that the customer's best interests matter.
Business implication: Brands must stop treating trust as a marketing claim and start treating it as an operating standard.
Every promise, policy, recovery, recommendation and handoff either strengthens or weakens trust.
| Brand example: L.L. Bean. L.L. Bean built trust by standing behind its products for generations, beginning with founder Leon Leonwood Bean honoring returns after early product defects and improving the original Bean Boot. The brand demonstrates that trustworthiness is earned when a company takes responsibility, corrects what fails, and proves confidence in the quality of what it sells. |
Rule 2: From knowledge to expertise
Knowledge is now widely accessible. Expertise is not.
Knowledge tells a professional what information exists. Expertise enables that professional to diagnose, interpret, prioritize, advise and act wisely in context.
True experts do not simply perform certainty. They ask strong questions, clarify assumptions, update their thinking, and know when to seek additional input.
Business implication: Companies must train people to move beyond information delivery into advisory excellence.
Salespeople become trusted advisors. Service professionals become educators. Leaders become coaches. The premium goes to those who turn knowledge into judgment.
| Brand example: Apple. Apple's Genius Bar shows how knowledge becomes expertise when highly-trained specialists diagnose issues, interpret options, and guide customers face-to-face. Customers are not merely receiving information they could search online; they are receiving contextual advice and solutions that build confidence. |
Rule 3: From efficiency to kindness
Efficiency removes friction. Kindness creates emotional value.
A transaction can be fast and still feel cold. A process can be streamlined and still feel indifferent.
Kindness is the disciplined act of making another person feel respected, valued and cared for.
Business implication: Companies must design for warmth as well as speed.
Managers should recognize and reward consistent acts of kindness, not only task completion.
Internal kindness matters as much as external kindness because employees transmit the culture they experience.
| Brand example: Aman. Aman exemplifies the shift from efficiency to kindness through a hospitality model built on privacy, calm, intuitive service and rigorous attention to detail. The brand shows that kindness in luxury is often quiet and anticipatory: making guests feel deeply cared for without making the service feel performative or intrusive. |
Rule 4: From personalization to empathy
Personalization uses data to predict preferences. Empathy uses human understanding to honor the person.
A company may know a customer's purchase history, preferred channel, size, birthday or past behavior and still fail to understand what the customer is feeling or needing in the moment.
Business implication: CRM systems, data platforms and personalization tools should support empathy, not substitute for it.
Organizations should train employees to listen for emotional context, validate concerns and respond to the person rather than the profile.
| Brand example: Cleveland Clinic. Cleveland Clinic's empathy-centered patient experience work illustrates the difference between knowing a patient's record and understanding the fear, vulnerability and human context behind the appointment. In healthcare, and arguably all categories involving human interaction, empathy is not decorative; it is central to trust. |
Rule 5: From content to creativity
Content is now infinite. Creativity is scarce.
AI can generate articles, videos, summaries, posts, campaigns, images, recommendations and messages at extraordinary speed.
Abundance creates sameness. Creativity creates relevance, meaning, usefulness, delight and differentiation.
Business implication: Companies must stop confusing volume with value.
Creativity is not limited to art or marketing. It appears when a client-facing professional finds an elegant solution under constraints, when a leader designs a better way to serve, and when a team reconfigures available resources to create extraordinary value.
| Brand example: LEGO. LEGO exemplifies creativity because the brand is not only a producer of toys or content. It is a platform that enables customers to imagine, build, adapt and create. Its value lies in the creative possibilities it unlocks. |
Rule 6: From transactions to relationships
Transactions generate revenue. Relationships generate loyalty.
A transaction ends when the sale is complete, the appointment is finished, the vacation is over, or the invoice is paid.
A relationship compounds. It produces repeat business, referrals, advocacy, forgiveness and greater lifetime value.
Business implication: Organizations must measure relationship quality, not only transactions.
Leaders should ask after every important interaction: Did we increase trust? Did we demonstrate expertise? Did we show kindness? Did we practice empathy? Did we create unique value? Did the relationship become stronger?
| Brand example: American Express. American Express exemplifies the shift from transactions to relationships by positioning customers not simply as cardholders, but as members. Through service access, travel support, concierge assistance, curated benefits and long-term recognition, American Express turns financial utility into an ongoing relationship built on trust, access, status and continuity. |
Rule 7: From productivity to effectiveness
Productivity measures how much gets done. Effectiveness measures whether the right outcomes are achieved in the right way.
AI will make individuals and organizations more productive, but productivity without discernment can accelerate the wrong behaviors.
Business implication: Companies must move beyond activity metrics alone. Calls made, emails sent, tickets closed, tasks completed and meetings held do not prove value.
Better measures include trust built, problems solved, unique solutions delivered, relationships strengthened, customers retained and outcomes improved.
| Brand example: Rolls-Royce Motor Cars. Rolls-Royce Motor Cars exemplifies the shift from productivity to effectiveness through its bespoke program, where success is not measured by producing more vehicles faster, but by fulfilling each client’s vision with extraordinary precision and craftsmanship. The brand demonstrates that effectiveness means achieving the right outcome for the right client, even when that requires patience, customization and meticulous human attention. |
Operationalizing the behavioral moat
The 7 New Rules become powerful only when they move from language to behavior.
A framework can inspire people, but a system changes how they behave.
To build a behavioral moat, companies must define observable behaviors, assess current strengths, train with real scenarios, coach consistently, measure both behavioral inputs and business outcomes and recognize people who strengthen relationships.
The relationship ecosystem provides that structure. It connects values to behaviors, behaviors to measurement, measurement to coaching, and coaching to business outcomes. It recognizes that relationships are not created by one heroic employee or one memorable moment. They are created by shared small, consistent, measurable behaviors across the enterprise.
Implications across industries
Although the 7 New Rules were developed through a luxury lens, their relevance is universal.
In healthcare, expertise and empathy affect trust, adherence and outcomes.
In financial services, trustworthiness and effectiveness determine whether clients feel protected or like just another transaction.
In hospitality, kindness and relationships separate warmth from mere service.
In technology, creativity and empathy determine whether innovation solves real human problems.
Across industries, the pattern is the same: technical competence is necessary, but it’s not enough.
The premium goes to the companies and professionals who combine competence with character, insight with care, personalization with empathy, productivity with effectiveness and transactions with relationships.
Questions for leaders
The practical test for executives is whether the 7 New Rules are visible in daily behavior, not just in brand language. Leaders can begin by asking seven questions:
- Do our policies, promises and behaviors make us more trustworthy?
- Do our people provide expertise and judgment that go beyond information?
- Do customers experience kindness, especially in moments of friction or stress?
- Do our data systems help employees understand the human being, not just the profile?
- Do we encourage creativity when standard procedures are insufficient?
- Do we measure relationship strength, not merely transaction volume?
- Do we know whether our productivity is producing better outcomes?
When these questions are answered honestly and acted upon consistently, the behavioral moat becomes tangible. It becomes a way to train, coach, measure, reward and lead.
Conclusion: The human advantage
The 7 New Rules of Competitive Advantage define a new standard for business performance.
The old moats are not irrelevant, but they are no longer sufficient.
Answers must become trustworthy. Knowledge must become expertise. Efficiency must become kindness. Personalization must become empathy. Content must become creative. Transactions must become relationships. Productivity must become effectiveness.
The future will belong to the companies and professionals who use technology to elevate humanity, not replace it.
In a world where many organizations will become faster, cheaper and more automated, the most powerful differentiator will be the quality of human behavior. That is why the new moat is behavioral.
Executive action questions
- Where do customers experience us as transactional rather than relational?
- How do we currently measure trust, expertise, kindness, empathy, creativity, relationship building and effectiveness?
- Where are we using technology to replace human value rather than elevate it?
Milton Pedraza is CEO of research and advisory firm Luxury Institute. He is also author of “Relationship Mastery: How Elite Professionals Build Trust, Loyalty, and Lifetime Value in the Relationship Ecosystem.” Reach him at [email protected].
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","iv":"2f5b0bd358a44c75587cb98c8a00431f","s":"d798b743b2ea8413"}